NDLI: Collaborative hardware/software partition of coarse-grained reconfigurable system using evolutionary ant colony optimization

Content Provider	IEEE Xplore Digital Library
Author	Dawei Wang Sikun Li Yong Dou
Copyright Year	2008
Description	Author affiliation: Coll. of Comuter Sci., Defense Technol. Univ., Changsha (Dawei Wang; Sikun Li; Yong Dou)
Abstract	The flexibility, performance and cost effectiveness of reconfigurable architectures have lead to its widespread use for embedded applications. Coarse-grained reconfigurable system design is very complex for multi-fields experts to collaborate on application algorithm design, hardware/software co-design and system decision. However, existing reconfigurable system design methods and environments can only support hardware/software co-design, ignoring the collaboration between multi-field experts. This paper presents a collaborative partition approach of coarse-grained reconfigurable system design using evolutionary ant colony optimization. We create a distributed collaborative design environment for system decision engineers, software designers, hardware designers and application algorithm developers. The method not only utilizes the advantages of ant colony optimization for searching global optimal solutions, but also provides a framework for multi-field experts to work collaboratively. Experimental results show that the method improves the quality and speed of hardware/software partition for coarse-grained reconfigurable system design.
Starting Page	679
Ending Page	684
File Size	190135
Page Count	6
File Format	PDF
ISBN	9781424419210
DOI	10.1109/ASPDAC.2008.4484037
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-21
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Collaborative software Hardware Ant colony optimization Algorithm design and analysis Application software Software design Partitioning algorithms Software algorithms Software systems Collaborative work
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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